One of the first validations of an artificial intelligence algorithm for clinical use: The impact on intraoperative hypotension prediction and clinical decision-making

This review describes the steps and conclusions from development validation of an artificial intelligence algorithm (the Hypotension Prediction Index), one first machine learning predictive algorithms used in operating room environment. The has been demonstrated to reduce intraoperative hypotension two randomized controlled trials via real-time prediction upcoming hypotensive events prompting anesthesiologists act earlier, more often, differently managing impending hypotension. However, entails no dynamic process that evolves use clinical patient care, meaning is fixed, furthermore provides insight into decisional leads early warning for hypotension, which makes a ”black box.” Many other have these same disadvantages. Clinical such relatively new requires standardization, as guidelines are lacking or only now start be drafted. Before adaptation practice, impact on behavior, outcomes economic advantages should studied too.